How We Cut LLM Token Costs by 76% Without Losing Answer Quality: A GraphRAG Deep Dive Published for…
中文摘要
本文深入探讨了如何利用 GraphRAG 在不牺牲回答质量的情况下，将大语言模型 Token 成本降低 76%。
English Summary
This deep dive explains how GraphRAG was used to cut LLM token costs by 76% without losing answer quality.
原文节选
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